Exposure to polycyclic aromatic hydrocarbons increases the risk of poor sleep pattern in US adults: results from the NHANES (2005–2010)

Zhang, Qian; Peng, Kun; Xin, Li-Hong; Zhao, Jie; Li, Yu-Jie

doi:10.1007/s11356-023-30419-6

Cited by 3 publications

(3 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To determine whether a sleep disorder was present, the question “Have you ever been told by a doctor or other health professionals that you have a sleep disorder?” was asked. When two or more of the following occur, it is considered a “poor sleep pattern”: an abnormal sleep duration (<7 h or >9 h), trouble sleeping, and sleep disorders ( 8 , 24 ).…”

Section: Methodsmentioning

confidence: 99%

“…Based on previous studies, potential covariates that might influence the association between VOCs and sleep health were included in this study ( 8 , 27 ). Categorical covariates included gender (female and male), race (Mexican American, other Hispanic, non-Hispanic White, non-Hispanic Black, others), education level (less than grade 9, grade 9–11, high school graduate/GED or equivalent, some college or AA degree, college graduate or above), marital status (married, widowed, divorced, separated, never married, living with partner), PIR (<5, ≥5), BMI (<18.5, 18.5–24.9, 25.0–29.9, and ≥30), drinking status (no, moderate, and heavy), serum cotinine (low and high), diabetes (no, borderline, yes) and hypertension (no and yes).…”

Section: Methodsmentioning

confidence: 99%

“…( 7 ). A cross-sectional study based on National Health and Nutrition Examination Surveys (NHANES) found that exposure to polycyclic aromatic hydrocarbons (PAHs) might be associated with poor sleep patterns ( 8 ). Previous meta-analyses have shown that self-reported exposure to secondhand smoke is positively correlated to short sleep lengths, poor sleep quality, and daytime sleepiness ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Associations of exposure to volatile organic compounds with sleep health and potential mediators: analysis of NHANES data

Zhuang,

Li,

Zhang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

ObjectiveThe effect of environmental pollution on sleep has been widely studied, yet the relationship between exposure to volatile organic compounds (VOCs) and sleep health requires further exploration. We aimed to investigate the single and mixed effect of urinary VOC metabolites on sleep health and identify potential mediators.MethodsData for this cross-sectional study was collected from the National Health and Nutrition Examination Surveys (NHANES) (2005–2006, 2011–2014). A weighted multivariate logistic regression was established to explore the associations of 16 VOCs with four sleep outcomes. Following the selection of important VOCs through the least absolute shrinkage and selection operator (LASSO) regression, principal component analyses (PCA), weight quantile sum (WQS), and Bayesian kernel machine regression (BKMR) analyses were conducted to explore the associations between exposure to single and mixed VOCs and sleep outcomes, as well as identify the most contributing components. A mediation analysis was performed to explore the potential effect of depression scores.ResultsOf the 3,473 participants included in the study, a total of 618 were diagnosed with poor sleep patterns. In logistic regression analyses, 7, 10, 1, and 5 VOCs were significantly positively correlated with poor sleep patterns, abnormal sleep duration, trouble sleeping, and sleep disorders, respectively. The PCA analysis showed that PC1 was substantially linked to a higher risk of poor sleep patterns and its components. The WQS model revealed a positive association between VOC mixture of increased concentrations and poor sleep patterns [OR (95% CI): 1.285 (1.107, 1.493)], abnormal sleep duration [OR (95% CI): 1.154 (1.030, 1.295)], trouble sleeping [OR (95% CI): 1.236 (1.090, 1.403)] and sleep disorders [OR (95% CI): 1.378 (1.118, 1.705)]. The BKMR model found positive associations of the overall VOC exposure with poor sleep patterns, trouble sleeping, and sleep disorders. PCA, WQS, and BKMR models all confirmed the significant role of N-acetyl-S-(N-methylcarbamoyl)-l-cysteine (AMCC) in poor sleep patterns and its components. The depression score was a mediator between the positive VOC mixture index and the four sleep outcomes.ConclusionExposure to single and mixed VOCs negatively affected the sleep health of American population, with AMCC playing a significant role. The depression score was shown to mediate the associations of VOC mixtures with poor sleep patterns and its components.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Associations of exposure to volatile organic compounds with sleep health and potential mediators: analysis of NHANES data

Zhuang,

Li,

Zhang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

show abstract

Association between indoor use of consumer chemical products and sleep disturbance among college students: A nationwide cross-sectional study

Wang,

Su,

Dai

et al. 2024

Building and Environment

View full text Add to dashboard Cite

Adsorption ability of DNA/calcium alginate magnetic aerogel microspheres toward benzo(a)anthracene

Huang,

Ma,

2024

Preprint

View full text Add to dashboard Cite

With the increasing development of industry, polycyclic aromatic hydrocarbons (PAHs) pollution is becoming increasingly serious, posing great harm to the health of humans and other organisms. It is urgent to develop effective solutions.In this study, DNA/calcium alginate magnetic aerogel microspheres were prepared based on the gel properties of sodium alginate and the magnetism of ferric oxide, which were used to remove benzo(a)anthracene (BaA) from aqueous solution. The aerogel microspheres were irregular spherical, with concave convex surface and good water absorption. The pores were mostly mesoporous. The aerogel microspheres had good adsorption on BaA and were easy to be magnetically separated. When the initial concentration of BaA was 350 µg/L, the removal efficiency was 98.52% when incubated at 25 ℃ and pH 7.0 for 50 min. The adsorption process accorded with Langmuir model and pseudo-2nd -order kinetic model. For natural river samples containing BaA, the removal efficiency was above 98.45% when the BaA initial concentration was in the range of 50–300 µg/L.The aerogel microspheres have high adsorption capacity, and the adsorption of BaA was simple and time-consuming, which have great potential application value in water purification.

show abstract

Exposure to polycyclic aromatic hydrocarbons increases the risk of poor sleep pattern in US adults: results from the NHANES (2005–2010)

Cited by 3 publications

References 76 publications

Associations of exposure to volatile organic compounds with sleep health and potential mediators: analysis of NHANES data

Associations of exposure to volatile organic compounds with sleep health and potential mediators: analysis of NHANES data

Association between indoor use of consumer chemical products and sleep disturbance among college students: A nationwide cross-sectional study

Adsorption ability of DNA/calcium alginate magnetic aerogel microspheres toward benzo(a)anthracene

Contact Info

Product

Resources

About